Product Department

Four focused AI product management agents that handle the full product decision cycle — from research to prioritization to user motivation.

Agents Included

Sprint Prioritizer 🎯

Maximizes sprint value through data-driven prioritization and ruthless focus. Agile planning, feature prioritization, resource allocation, backlog management.

Use for: Sprint planning sessions, backlog grooming, feature prioritization, velocity optimization.

Trend Researcher 🔭

Spots emerging trends before they hit the mainstream. Market intelligence, competitive analysis, opportunity assessment.

Use for: Market research, competitive landscape analysis, trend reports, strategic opportunity identification.

Feedback Synthesizer 🔍

Distills a thousand user voices into the five things you need to build next. Multi-channel feedback analysis, qualitative-to-quantitative conversion.

Use for: User feedback analysis, NPS interpretation, support ticket themes, feature request prioritization.

Behavioral Nudge Engine 🧠

Adapts software interactions to maximize user motivation through behavioral psychology. Nudge design, motivation frameworks, engagement optimization.

Use for: Onboarding flow optimization, feature adoption strategies, retention nudge design, engagement loops.

Setup

Your agent configurations are included with your subscription. Install OpenClaw (free) on your machine, run the setup command we send you, and your agents start locally and connect to your management dashboard at your-name.singlefoundercompany.com.

How to Use Them Together

Weekly product cycle:

1. Trend Researcher — Monday: scan the market for new signals
2. Feedback Synthesizer — Tuesday: synthesize last week's user feedback
3. Sprint Prioritizer — Wednesday: combine signals into a prioritized sprint
4. Behavioral Nudge Engine — Thursday: design retention/engagement for new features

Tips

• Feed Feedback Synthesizer raw data (CSV exports from Intercom, App Store reviews, NPS surveys) and let it find the patterns
• Use Sprint Prioritizer with RICE or MoSCoW frameworks — tell it which you prefer
• Behavioral Nudge Engine is especially powerful for onboarding flows and feature adoption